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Merge pull request #209508 from sdgilley/sdg-v2
ref new workspace creation ui
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articles/machine-learning/how-to-manage-workspace.md

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# Manage Azure Machine Learning workspaces in the portal or with the Python SDK
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In this article, you create, view, and delete [**Azure Machine Learning workspaces**](concept-workspace.md) for [Azure Machine Learning](overview-what-is-azure-machine-learning.md), using the Azure portal or the [SDK for Python](/python/api/overview/azure/ml/)
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In this article, you create, view, and delete [**Azure Machine Learning workspaces**](concept-workspace.md) for [Azure Machine Learning](overview-what-is-azure-machine-learning.md), using the Azure portal or the [SDK for Python](/python/api/overview/azure/ml/).
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As your needs change or requirements for automation increase you can also manage workspaces [using the CLI](v1/reference-azure-machine-learning-cli.md), or [via the VS Code extension](how-to-setup-vs-code.md).
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## Create a workspace
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You can create a workspace [directly in Azure Machine Learning studio](./quickstart-create-resources.md#create-the-workspace), with limited options available. Or use one of the methods below for more control of options.
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# [Python](#tab/python)
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[!INCLUDE [sdk v1](../../includes/machine-learning-sdk-v1.md)]

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